Paul and Suzi Schutt Endowed Chair in Science • Professor of Physics
Illinois Tech • SQMS
Carlo U. Segre
Duchossois Leadership Professor • Professor of Physics • Professor of Materials Science and Engineering
Illinois Tech
Matthew Otten
Scientist
HRL Laboratories
Pedro Rivero
Graduate Research Assistant
Illinois Tech • Argonne N.L.
Rakshya Khatiwada
Low noise cryogenics and quantum sensors for next-generation dark matter detectors
John F. Zasadzinski
Electron tunneling studies of novel superconductors using planar, point-contact and STM junctions. Interest in the conventional, elemental superconductor Niobium, and its applications for the development of superconducting radio frequency (SRF) cavities which are used for particle accelerators including the proposed international linear collider (ILC).
Carlo U. Segre
Structure and electronic properties of complex materials including superconducting, magnetic, catalytic, and energy storage materials. Active participant in the IIT Center for Synchrotron Radiation Research and Instrumentation (CSRRI); serving as Center Director and as Deputy Director of the Materials Research Collaborative Access Team (MRCAT) which operates an experimental facility for materials research at the Advanced Photon Source (APS).
Matthew Otten
Matthew Otten is a scientist at HRL Laboratories broadly studying the theoretical and computational aspects of quantum computing. After obtaining a B.S. in Physics from Illinois Tech, he attended Cornell to obtain his Ph.D., also in physics. He spent three years as the Maria Goeppert Mayer fellow at Argonne National Laboratory. Dr. Otten’s work includes new quantum algorithms, large-scale simulations of various quantum systems, and methods for understanding and mitigating inevitable noise on quantum computers and sensors.
Pedro Rivero
Ph.D. candidate doing research in Quantum Computing as applied to physics simulation algorihtms. Main developer of QRAND, a quantum free and open source piece of software for generating quantum random numbers following arbitrary probability distributions.